Add library name, pipeline tag, and link to code
#2
by
nielsr
HF Staff
- opened
README.md
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@@ -1,5 +1,7 @@
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license: mit
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---
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<div align="center">
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@@ -15,6 +17,7 @@ We launch **EVA**, a vision-centric foundation model to **E**xplore the limits o
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***EVA is the first open-sourced billion-scale vision foundation model that achieves state-of-the-art performance on a broad range of downstream tasks.***
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</div>
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@@ -180,5 +183,4 @@ The content of this project itself is licensed under the MIT License.
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For help or issues using EVA, please open a GitHub [issue](https://github.com/baaivision/EVA/issues/new).
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**We are hiring** at all levels at BAAI Vision Team, including full-time researchers, engineers and interns.
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If you are interested in working with us on **foundation model, self-supervised learning and multimodal learning**, please contact [Yue Cao](http://yue-cao.me/) (`caoyue@baai.ac.cn`) and [Xinlong Wang](https://www.xloong.wang/) (`wangxinlong@baai.ac.cn`).
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license: mit
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library_name: pytorch
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pipeline_tag: image-classification
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<div align="center">
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***EVA is the first open-sourced billion-scale vision foundation model that achieves state-of-the-art performance on a broad range of downstream tasks.***
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This repository hosts the pretrained weights for the models described in the paper [EVA: Exploring the Limits of Masked Visual Representation Learning at Scale](https://arxiv.org/abs/2211.07636). You can find a basic usage example in the Github repository, which can be found at https://github.com/baaivision/EVA.
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</div>
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For help or issues using EVA, please open a GitHub [issue](https://github.com/baaivision/EVA/issues/new).
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**We are hiring** at all levels at BAAI Vision Team, including full-time researchers, engineers and interns.
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If you are interested in working with us on **foundation model, self-supervised learning and multimodal learning**, please contact [Yue Cao](http://yue-cao.me/) (`caoyue@baai.ac.cn`) and [Xinlong Wang](https://www.xloong.wang/) (`wangxinlong@baai.ac.cn`).
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